A New Steganography Method Using Integer Wavelet Transform and Least Significant Bit Substitution

Abstract

Steganography is a data hiding technique, which is used for securing data. Both spatial and transform domains are used to implement a steganography method. In this paper, a novel transform domain method is proposed to provide a better data hiding method. The method uses a multi-resolution transform function, integer wavelet transform (IWT) that decomposes an image into four subbands: low-low, low-high, high-low and high-high subband. The proposed method utilizes only the three subbands keeping the low-low subband untouched which helps to improve the quality of the stego image. The method applies a coefficient value differencing approach to determine the number of secret bits to be embedded in the coefficients. The method shows a good performance in terms of embedding capacity, imperceptibility and robustness. A number of metrics are computed to show the quality of the stego image. It can also withstand RS steganalysis, Chi-squared test and Subtractive Pixel Adjacency Matrix steganalysis successfully. The deformation of the histogram and Pixel Difference Histogram for different embedding percentages are also demonstrated, which show a significant similarity with the original cover image. The proposed method shows an achievement of 2.3bpp embedding capacity with a good quality of stego image.

A Color Image Steganography Using A Chaotic Map Based On K-Least Significant Bits

“…Algoritmanın, yüksek kapasite, algılanamazlık ve sağlamlık açısından iyi bir performansa sahip olduğu gösterildi [31]. Nazari ve Ahmedi, renkli ve gri görüntüler üzerinde DCT (Discrete Cosine Transform-Ayrık Kosinüs Dönüşümü) kullanan bir steganografi yöntemi önerdiler.…”

“…Bazı çalışmalarda gömü verisi bir metinken [18,19,22,25,28], bazı çalışmalarda bir görüntü [15,20,21,23,24,26] olmuştur. Kaotik yapılar kullanarak [20,21], kriptografi yöntemleriyle şifrelenerek [23,24,28] ya da frekans düzleminde [31,32] veri gömme işlemleri de gerçekleştirilmiştir.…”

“…Gömülecek verinin kapasitesine göre algoritmaların başarıları farklılık gösterecektir. Düşük kapasiteye sahip verinin gömüldüğü şemalarda [17][18][19] yüksek algılanamazlık değerleri elde edildiği görülürken, yüksek kapasite ile ön plana çıkan çalışmaların [31,32] sonuçlarına bakıldığında önerilen yöntemin sonuçlarının daha başarılı olduğu görülmüştür. Makalenin geri kalan kısmı şu şekilde devam edecektir; 3. bölümde, ön bilgi verildikten sonra önerilen yöntem anlatılacaktır.…”

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

“…Some data hiding schemes embed secret messages into frequency domain domains such as iscrete cosine transform (DCT) domain [23], [24], [25], discrete wavelet transform (DWT) domain [26], [27], discrete Fourier transform (DFT) domain [12], [28] and integer wavelet transform (IWT) domain [29], [30]. But such frequency-domain data hiding schemes can only reach a low embedding rate, such as 2 bpp or lower.…”

Double layer security using crypto-stego techniques: a comprehensive review

“…The security of the data can be further improved by introducing encryption methods to the secret data before embedding. In 2019, Kalita et al [ 76 ] have proposed a new steganography method using integer wavelet transform (IWT) and the least significant bit (LSB) substitution method. To estimate the embedding capacity, the coefficient value differencing method has been applied.…”